YouTube Tests AI Prompt-Based Custom Video Feeds
YouTube is rolling out an experimental feature that lets users describe what they want to watch in natural language, generating a personalized AI-curated video feed on demand.
Model Collapse: How Synthetic Data Could Break AI
As AI-generated content floods the web, models increasingly train on synthetic data, risking model collapse—a degenerative process where outputs lose diversity, accuracy, and connection to reality.
ByteDance Builds Custom CPUs for AI Inference Workloads
ByteDance is reportedly designing its own CPUs for AI inference, joining hyperscalers in vertical silicon integration. The move could reshape cost economics for the company's generative video and recommendation workloads.
Narrative Flattening: How RLHF Homogenizes LLM Fiction
New research examines how post-training pipelines compress thematic, affective, and stylistic diversity in LLM-generated fiction, revealing a measurable homogenization effect across base and aligned models.
Sakana AI's DiffusionBlocks Rethinks Neural Net Training
Sakana AI's DiffusionBlocks reframes residual network training as independent denoising tasks, eliminating end-to-end backprop and slashing memory costs for large generative models.
AI Super PAC Attack on NY Lawmaker Backfires Spectacularly
A Silicon Valley super PAC backed by figures tied to OpenAI and Anthropic spent heavily to bury NY Assemblymember Alex Bores over his AI safety bill — instead boosting his profile as he launches a congressional bid.
YouTube Rolls Out Automatic AI Video Labeling
YouTube is moving beyond creator self-disclosure with automated detection systems that label AI-generated and manipulated videos at scale, marking a major shift in platform-level synthetic media authenticity enforcement.
ByteDance Eyes $70B AI Capex to Fuel Video Model Push
ByteDance is reportedly weighing up to $70B in capital expenditure for AI infrastructure in 2026, doubling down on the compute needed to power its growing portfolio of video generation and synthetic media models.
EAGLE 3.1 Fixes Attention Drift in LLM Speculative Decoding
EAGLE 3.1 introduces a refined speculative decoding algorithm that addresses attention drift in draft models, boosting LLM inference throughput without sacrificing output fidelity.
Deepfake KYC Bypass Attacks Surge, Report Warns
Cybercriminals are increasingly weaponizing AI-generated deepfakes to defeat Know Your Customer identity verification at banks and fintechs, according to a new threat report, exposing weaknesses in liveness detection and document verification systems.
Pichai on AI, Search's Future, and the Open Web
Google CEO Sundar Pichai discusses AI's reshaping of search, the 'Google Zero' threat to the open web, and how Gemini, YouTube, and AI Overviews are redefining content discovery and authenticity.
Spotify Co-CEO Defends AI-Generated Music Push
Spotify's co-CEO is publicly defending the platform's growing embrace of AI-generated music, signaling a strategic pivot that raises pressing questions about synthetic audio, artist rights, and content authenticity at scale.